Evaluation of a Variable Mixing Efficiency Parameterization on the Simulation of Last Glacial Maximum (LGM) Oceanic Circulation

This study tested the utility of a variable mixing efficiency formulation proposed by Mashayek, et al. (2017) for use in oceanographic models other than the modern, pre-industrial ocean. This formulation is used to calculate diapycnal (vertical) mixing due to unresolved subgrid-scale processes. Resu...

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Main Author: Thorstensson, Danil
Other Authors: Schmittner, Andreas, Mix, Alan, Smyth, Bill, Shell, Karen, Oregon State University. Honors College
Format: Thesis
Language:English
Published: Oregon State University
Subjects:
Online Access:https://ir.library.oregonstate.edu/concern/honors_college_theses/kp78gq00j
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spelling ftoregonstate:ir.library.oregonstate.edu:kp78gq00j 2023-06-11T04:14:15+02:00 Evaluation of a Variable Mixing Efficiency Parameterization on the Simulation of Last Glacial Maximum (LGM) Oceanic Circulation Thorstensson, Danil Schmittner, Andreas Mix, Alan Smyth, Bill Shell, Karen Oregon State University. Honors College https://ir.library.oregonstate.edu/concern/honors_college_theses/kp78gq00j English [eng] eng Oregon State University https://ir.library.oregonstate.edu/concern/honors_college_theses/kp78gq00j All rights reserved Honors College Thesis ftoregonstate 2023-05-07T17:29:52Z This study tested the utility of a variable mixing efficiency formulation proposed by Mashayek, et al. (2017) for use in oceanographic models other than the modern, pre-industrial ocean. This formulation is used to calculate diapycnal (vertical) mixing due to unresolved subgrid-scale processes. Results from Last Glacial Maximum (LGM) simulations for variables such as sea surface temperature, density, and meridional overturning were compared to those of a model simulation of the pre-industrial ocean using three different parameter conditions for mixing efficiency and one “default” constant value of Γ = 0.2. These three parameter conditions were influenced by Mashayek, et al. (2017), who devised a variable mixing efficiency parameterization and applied it to the pre-industrial ocean. Simulated changes in meridional overturning between the pre-industrial and LGM simulations were very similar for the constant mixing efficiency coefficient models and the variable coefficient models; e.g. the flow of North Atlantic Deep Water out of the Atlantic was ~2 Sv less in the LGM simulations for both variable and constant Γ models. The null hypothesis that a variable mixing efficiency parameterization would not significantly affect differences in physical variables between LGM and pre-industrial simulations was not rejected. A constant Γ is recommended for future modeling of the ocean-climate system. Key Words: mixing efficiency, ocean, turbulence, diapycnal diffusivity, Last Glacial Maximum, pre-industrial, Buoyancy Reynolds number Thesis North Atlantic Deep Water North Atlantic ScholarsArchive@OSU (Oregon State University)
institution Open Polar
collection ScholarsArchive@OSU (Oregon State University)
op_collection_id ftoregonstate
language English
description This study tested the utility of a variable mixing efficiency formulation proposed by Mashayek, et al. (2017) for use in oceanographic models other than the modern, pre-industrial ocean. This formulation is used to calculate diapycnal (vertical) mixing due to unresolved subgrid-scale processes. Results from Last Glacial Maximum (LGM) simulations for variables such as sea surface temperature, density, and meridional overturning were compared to those of a model simulation of the pre-industrial ocean using three different parameter conditions for mixing efficiency and one “default” constant value of Γ = 0.2. These three parameter conditions were influenced by Mashayek, et al. (2017), who devised a variable mixing efficiency parameterization and applied it to the pre-industrial ocean. Simulated changes in meridional overturning between the pre-industrial and LGM simulations were very similar for the constant mixing efficiency coefficient models and the variable coefficient models; e.g. the flow of North Atlantic Deep Water out of the Atlantic was ~2 Sv less in the LGM simulations for both variable and constant Γ models. The null hypothesis that a variable mixing efficiency parameterization would not significantly affect differences in physical variables between LGM and pre-industrial simulations was not rejected. A constant Γ is recommended for future modeling of the ocean-climate system. Key Words: mixing efficiency, ocean, turbulence, diapycnal diffusivity, Last Glacial Maximum, pre-industrial, Buoyancy Reynolds number
author2 Schmittner, Andreas
Mix, Alan
Smyth, Bill
Shell, Karen
Oregon State University. Honors College
format Thesis
author Thorstensson, Danil
spellingShingle Thorstensson, Danil
Evaluation of a Variable Mixing Efficiency Parameterization on the Simulation of Last Glacial Maximum (LGM) Oceanic Circulation
author_facet Thorstensson, Danil
author_sort Thorstensson, Danil
title Evaluation of a Variable Mixing Efficiency Parameterization on the Simulation of Last Glacial Maximum (LGM) Oceanic Circulation
title_short Evaluation of a Variable Mixing Efficiency Parameterization on the Simulation of Last Glacial Maximum (LGM) Oceanic Circulation
title_full Evaluation of a Variable Mixing Efficiency Parameterization on the Simulation of Last Glacial Maximum (LGM) Oceanic Circulation
title_fullStr Evaluation of a Variable Mixing Efficiency Parameterization on the Simulation of Last Glacial Maximum (LGM) Oceanic Circulation
title_full_unstemmed Evaluation of a Variable Mixing Efficiency Parameterization on the Simulation of Last Glacial Maximum (LGM) Oceanic Circulation
title_sort evaluation of a variable mixing efficiency parameterization on the simulation of last glacial maximum (lgm) oceanic circulation
publisher Oregon State University
url https://ir.library.oregonstate.edu/concern/honors_college_theses/kp78gq00j
genre North Atlantic Deep Water
North Atlantic
genre_facet North Atlantic Deep Water
North Atlantic
op_relation https://ir.library.oregonstate.edu/concern/honors_college_theses/kp78gq00j
op_rights All rights reserved
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